Data Operations Analyst

Posted 3 Days Ago
New York, NY, USA
In-Office
Mid level
Financial Services
The Role
Provide Level 1 support and daily operations for critical data pipelines, including validation, cleaning, incident management, reporting, tooling, documentation, and permissions/entitlements support for finance trading systems.
Summary Generated by Built In

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s data services group is looking for Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will join a global team of Data Operations Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES

  • Level 1 support for thousands of mission critical data pipelines.
  • Day-to-day operations including data validation, data entry tasks, data cleaning, security audits and reporting.
  • Incident management including user communication and reporting for management.
  • Developing tools, documentation, and processes to assist with daily operations and support.
  • Support for complex permission and entitlements operations across many different systems.

REQUIREMENTS

  • Bachelor’s degree with a concentration in Computer Science or related discipline.
  • 3+ years of experience working in a client facing support or operations role.
  • Experience working in Windows and Linux environments both on-prem and in AWS.
  • Experience with SQL Server and Python.
  • Financial industry experience preferred but not required.
  • Attention to detail and a love of process.
  • Strong organization, communication, and interpersonal skills.
  • Commitment to the highest ethical standards.

Skills Required

  • Bachelor's degree in Computer Science or related discipline
  • 3+ years experience in a client-facing support or operations role
  • Experience working in Windows and Linux environments both on-prem and in AWS
  • Experience with SQL Server
  • Experience with Python
  • Financial industry experience
  • Attention to detail and a love of process
  • Strong organization, communication, and interpersonal skills
  • Commitment to the highest ethical standards

Point72 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.

  • Healthcare Strength Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
  • Retirement Support The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
  • Parental & Family Support Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.

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The Company
HQ: Stamford, CT
1,691 Employees
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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